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This shaves about 3.5-4% off of our import time.

If we want to continue down this path, we can do the same thing for eval and reshape.api pretty easily. Probably more than that, but I haven't looked that far.

FWIW: a full run of asv (on one commit, not continuous) imports pandas just over 5000 times, so these couple-dozen milliseconds add up.

@gfyoung gfyoung added IO Data IO issues that don't fit into a more specific label Performance Memory or execution speed performance labels Sep 15, 2019
@jbrockmendel jbrockmendel deleted the lazy branch September 15, 2019 17:30
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IO Data IO issues that don't fit into a more specific label Performance Memory or execution speed performance

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